The CHiME-Home dataset is a collection of annotated domestic environment audio recordings.
Please note: as of 9th September 2016, the dataset incorporates the development and evaluation subsets (both recordings and annotations) of the
Detection and Classification of Acoustic Scenes and Events (DCASE) 2016 Domestic Audio Tagging task. For DCASE 2016,
a baseline classifier and evaluation script were made available;
results are available for 8 submissions.
Please cite as:
P. Foster, S. Sigtia, S. Krstulovic, J. Barker, M. D. Plumbley. "CHiME-Home: A Dataset for Sound Source Recognition in a Domestic Environment," in Proceedings of the 11th Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015.
Annotations gathered March 2015 at the Centre for Digital Music, Queen Mary University of London, United Kingdom.
Based on recordings made as part of the Computational Hearing in Multisource Environments (CHiME) challenge at the University of Sheffield, United Kingdom.
For further information, please see README and LICENSE files contained in the archive file.